Published March 10, 2023 | Version 1.1
Dataset Open

Automated monitoring of biodiversity in the tropics: A pilot study at Barro Colorado Island

  • 1. UK Centre for Ecology and Hydrology
  • 2. Smithsonian Tropical Research Institute
  • 3. Insectarium de Montréal
  • 4. Department of Ecoscience and Arctic Research Centre, Aarhus University
  • 5. Naturalis Biodiversity Center, Leiden, Netherlands
  • 6. Canadian National Collection of Insects - Agriculture and Agri-food Canada

Description

Automated monitoring of biodiversity using camera systems and acoustic devises is becoming increasingly common practise. The development of camera traps for insects, however, is relatively new, and has not been tested in tropical environments. To understand both the challenges and opportunities for automated monitoring in the tropics we deployed three newly developed cameras systems for monitoring insects, with a focus on night-flying insects. In addition we deployed audible and ultrasound recording equipment. The locations of each device was changed over the 5 day pilot study, and the configuration of each system was changed to allow an assessment of the relative importance of position, light, etc. The study was undertaken on Barro Colorado Island, Panama, in January 2023.

Data are aggregated into .zip files, and details of their contents, and metadata are given in read_me.txt and metadata.csv.

Files

AMI_motion_2023_01_23_NIGHT.zip

Files (116.6 GB)

Name Size Download all
md5:32c226a9e9ce9642cd80bbaf93d0bf25
17.1 GB Preview Download
md5:607450f592fbf3e49a455b069d0ca048
12.5 GB Preview Download
md5:d15cc66c30fad754059d245657fe97ae
15.0 GB Preview Download
md5:e86c2a029ec75e899284d15faa5c34a8
22.9 GB Preview Download
md5:e55e05bd0e6029de096449e55954a977
2.1 GB Preview Download
md5:7f9f708976d8c36c741b85357ce825e4
5.8 GB Preview Download
md5:9926e030e80722d4c03541145c1cf93f
2.9 GB Preview Download
md5:24cd2e4895e85a21ca3459c4ddeb969c
3.0 GB Preview Download
md5:b4d31eb060958cb33651393a7c0ed52a
10.0 GB Preview Download
md5:e06b4deae48ecc215eb5177e9dc2cec1
6.3 GB Preview Download
md5:74b3690df3217853364961b9072ee57e
6.7 GB Preview Download
md5:cc3a13b6caa9d54fc1e583c13af16b77
9.0 GB Preview Download
md5:f9b5a8cd9c78e2c9214fc1252a74a3c0
647.2 MB Preview Download
md5:d2073c14e852d09ffadb83e253a1a9cc
2.6 GB Preview Download
md5:ff4f6b0f9ade30c6208198e4abcdcef8
2.9 kB Preview Download
md5:bd9b3ad102e7d23d602fa65d1e169e6f
1.2 kB Preview Download

Additional details

Funding

UK Research and Innovation
Easy RIDER: Real-time IDentification for Ecological Research and Monitoring NE/W004216/1